Master Program Statistics and Data Science 24 months Postgraduate Program By Ludwig-Maximilians-Universität München |Top Universities
Subject Ranking

# 51-100QS Subject Rankings

Program Duration

24 monthsProgram duration

Scholarship

YesScholarships

Main Subject Area

Statistics and Operational ResearchMain Subject Area

Program overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The subject matter of the consecutive master's program Statistics and Data Science is advanced methods for collecting data correctly, extracting reliable information from data, and drawing scientifically sound conclusions. One focus is on the ability to independently develop powerful methods that are precisely tailored to complex content-related questions. On the one hand, in-depth methods of statistical inference, machine learning and statistical modeling are taught, and on the other hand, interdisciplinary communication skills are taught, especially in order to be able to formalize content-related questions appropriately and to be able to prepare the analysis results accordingly for practical consulting in science, administration and business. Students specialize in one of the areas "Machine Learning", "Biostatistics", "Statistics and Data Science in the Social Sciences", "Econometrics" and "Modeling Methodology", where they are introduced to current methodological research.

Program overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The subject matter of the consecutive master's program Statistics and Data Science is advanced methods for collecting data correctly, extracting reliable information from data, and drawing scientifically sound conclusions. One focus is on the ability to independently develop powerful methods that are precisely tailored to complex content-related questions. On the one hand, in-depth methods of statistical inference, machine learning and statistical modeling are taught, and on the other hand, interdisciplinary communication skills are taught, especially in order to be able to formalize content-related questions appropriately and to be able to prepare the analysis results accordingly for practical consulting in science, administration and business. Students specialize in one of the areas "Machine Learning", "Biostatistics", "Statistics and Data Science in the Social Sciences", "Econometrics" and "Modeling Methodology", where they are introduced to current methodological research.

Admission requirements

5.5+
72+
160+
Bachelor's degree (180 ECTS) in Statistics or Data Science as a major, minor, or focus; At least 150 ECTS (equal to 5 semesters) must be proven, final degree can be submitted later; English proficiency B2 (or English degree); German knowledge A1 (or German school or university degree), can be submitted later.
2 Years
Apr
Oct

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

banner
download_icon Download Scholarship Guide

More programs from the university

You can add a master's degree to your first undergraduate degree (e.g. bachelor's degree or State Examination) if you want to expand or specialize your knowledge.  An increasing number are now in English — from American History to Physics. A master's degree program at LMU usually takes two years and is made up of 120 ECTS points. 

In addition to an undergraduate degree, further qualification requirements may be necessary, which are detailed in the examination regulations for each master's degree.
There are consecutive master's degree programs that build on knowledge from undergraduate studies in the same subject. In other master's degree programs, the requirements can be met with different academic degrees, because they require certain fundamentals that are not restricted to a single subject area. Weiterbildende Master (career-integrated master's degree programs) also require relevant professional experience. Students in these programs are usually required to pay additional tuition fees.

Postgrad programs 420